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  1. Book ; Online ; E-Book: Chemical Theory and Multiscale Simulation in Biomolecules

    Li, Guohui

    From Principles to Case Studies

    2024  

    Subject code 572.80113
    Language English
    Size 1 online resource (399 pages)
    Edition 1st ed.
    Publisher Elsevier
    Publishing place San Diego
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 9780323959186 ; 0323959180
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Chimeric antigen receptor T-cell therapy-induced nervous system toxicity: a real-world study based on the FDA Adverse Event Reporting System database.

    Ren, Xiayang / Zhang, Guanmin / Li, Guohui / Wang, Yanfeng

    BMC cancer

    2024  Volume 24, Issue 1, Page(s) 10

    Abstract: Background: Nervous system toxicity (NST) is one of the most frequent and dangerous side effects of chimeric antigen receptor T-cell (CAR-T) therapy, which is an effective treatment for related tumors in most relapsed/refractory (r/r) hematologic ... ...

    Abstract Background: Nervous system toxicity (NST) is one of the most frequent and dangerous side effects of chimeric antigen receptor T-cell (CAR-T) therapy, which is an effective treatment for related tumors in most relapsed/refractory (r/r) hematologic malignancies. Current clinical trial data do not fully reflect the real-world situation. Therefore, this study evaluated the NST of CAR-T therapy using the FDA Adverse Event Reporting System (FAERS).
    Methods: Data were retrieved from FAERS for the period from January 1, 2017 to March 31, 2023. Disproportionality analysis and Bayesian analysis were used for data mining. The reporting odds ratio (ROR) for NST with 95% confidence interval (CI) was calculated for each CAR-T product. The time to onset (TTO) and clinical outcomes due to CAR-T therapy-associated NST were assessed.
    Results: Overall, 6946 cases of NST associated with CAR-T therapy were identified. The patients had a median age of 61 years (interquartile range [IQR]: 47-69 years). Significant signals were observed for all CAR-T products (ROR: 2.19, 95% CI: 2.13-2.44). Anti-CD19 CAR-T products showed a higher NST signal than anti-B cell maturation antigen (BCMA) CAR-T products (ROR
    Conclusions: NST is more closely associated with anti-CD19 CAR-Ts and CAR-Ts containing CD28. Serious NST (brain oedema) is likely to occur with CAR-Ts that contain CD28. CAR-T-related NST warrants greater attention owing to the high proportion of serious adverse events and delayed NST.
    MeSH term(s) Humans ; Middle Aged ; Aged ; Bayes Theorem ; CD28 Antigens ; Receptors, Chimeric Antigen ; Neoplasm Recurrence, Local ; Adaptor Proteins, Signal Transducing ; Antibodies ; Antigens, CD19/adverse effects ; Hematologic Neoplasms ; Immunotherapy, Adoptive/adverse effects ; Cell- and Tissue-Based Therapy
    Chemical Substances CD28 Antigens ; Receptors, Chimeric Antigen ; Adaptor Proteins, Signal Transducing ; Antibodies ; Antigens, CD19
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041352-X
    ISSN 1471-2407 ; 1471-2407
    ISSN (online) 1471-2407
    ISSN 1471-2407
    DOI 10.1186/s12885-023-11753-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Pneumocephalus and empyema in the subarachnoid space: An unusual imaging feature secondary to spinal-epidural anesthesia.

    Liu, Yan / Li, Zhen / Li, Guohui / Tan, Xiaoping

    Heliyon

    2024  Volume 10, Issue 4, Page(s) e26029

    Abstract: Pneumocephalus and empyema in the subarachnoid space secondary to spinal-epidural anesthesia are very rare and have not previously been reported, to our knowledge. Here, we describe the imaging features of an older woman presenting with pneumocephalus ... ...

    Abstract Pneumocephalus and empyema in the subarachnoid space secondary to spinal-epidural anesthesia are very rare and have not previously been reported, to our knowledge. Here, we describe the imaging features of an older woman presenting with pneumocephalus plus subarachnoid and intraventricular empyema due to Staphylococcus epidermidis infection after spinal-epidural anesthesia, with the aim of raising awareness regarding this serious complication.
    Language English
    Publishing date 2024-02-10
    Publishing country England
    Document type Case Reports
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e26029
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A multi-factor combination prediction model of carbon emissions based on improved CEEMDAN.

    Li, Guohui / Wu, Hao / Yang, Hong

    Environmental science and pollution research international

    2024  Volume 31, Issue 14, Page(s) 20898–20924

    Abstract: As the global greenhouse effect intensifies, carbon emissions are gradually becoming a hot topic of discussion. Accurate carbon emissions prediction is an important foundation to realize carbon neutrality and peak carbon dioxide emissions. To accurately ... ...

    Abstract As the global greenhouse effect intensifies, carbon emissions are gradually becoming a hot topic of discussion. Accurate carbon emissions prediction is an important foundation to realize carbon neutrality and peak carbon dioxide emissions. To accurately predict carbon emissions, a multi-factor combination prediction model based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), bidirectional long short-term memory optimized by lemurs optimizer (LOBiLSTM) and least squares support vector machine optimized by lemurs optimizer (LOLSSVM), named ICEEMDAN-LOBiLSTM-LOLSSVM, is proposed. Firstly, the influencing factors of carbon emissions are selected by Spearman correlation coefficient, and carbon emissions are decomposed into intrinsic mode functions (IMFs) by ICEEMDAN. Secondly, the influencing factors and IMFs are input into LOBiLSTM and LOLSSVM respectively for prediction. Then, the point prediction results are obtained by weighting the prediction results of LOBiLSTM and LOLSSVM. Finally, probability density function of point prediction error is calculated by kernel density estimation, and the interval prediction results are calculated according to different confidence intervals. Carbon emissions of China and Germany are selected to verify the superiority of ICEEMDAN-LOBiLSTM-LOLSSVM. The experiment shows that RMSE, MAE, MAPE, and R
    MeSH term(s) Animals ; Lemur ; Carbon Dioxide ; China ; Germany ; Greenhouse Effect
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2024-02-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-32333-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Flexibility of Binding Site is Essential to the Ca

    Lai, Rui / Li, Guohui / Cui, Qiang

    Journal of the American Chemical Society

    2024  Volume 146, Issue 11, Page(s) 7628–7639

    Abstract: High binding affinity and selectivity of metal ions are essential to the function of metalloproteins. Thus, understanding the factors that determine these binding characteristics is of major interest for both fundamental mechanistic investigations and ... ...

    Abstract High binding affinity and selectivity of metal ions are essential to the function of metalloproteins. Thus, understanding the factors that determine these binding characteristics is of major interest for both fundamental mechanistic investigations and guiding of the design of novel metalloproteins. In this work, we perform QM cluster model calculations and quantum mechanics/molecular mechanics (QM/MM) free energy simulations to understand the binding selectivity of Ca
    MeSH term(s) Calcium-Binding Proteins ; Binding Sites ; Protein Binding ; Metalloproteins/chemistry ; Ions
    Chemical Substances Calcium-Binding Proteins ; Metalloproteins ; Ions
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3155-0
    ISSN 1520-5126 ; 0002-7863
    ISSN (online) 1520-5126
    ISSN 0002-7863
    DOI 10.1021/jacs.3c13981
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: New advances in the study of PD-1/PD-L1 inhibitors-induced liver injury.

    Yue, Meijun / Li, Chunyu / Li, Guohui

    International immunopharmacology

    2024  Volume 131, Page(s) 111799

    Abstract: The application of immune checkpoint inhibitors (ICIs) has made extraordinary achievements in tumor treatment. Among them, programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitors can improve the prognosis of advanced tumors, ... ...

    Abstract The application of immune checkpoint inhibitors (ICIs) has made extraordinary achievements in tumor treatment. Among them, programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitors can improve the prognosis of advanced tumors, and have been widely used in clinical practice to treat many types of cancers. However, excessive immune response can also induce immune-related adverse events (irAEs) involving many organs. Of these, immune-related liver injury is the relatively common and carries the highest morbidity, which has attracted the attention of hepatologists all over the world. The incidence of this type of liver injury depends specifically on factors such as the type of drug being combined, viral infection, type of cancer and liver transplantation. Although there is no unanimity on the mechanism of PD-1/PD-L1 inhibitor-induced liver injury, in this review, we also summarize the current evidence that provides insights into the pathogenesis of PD-1/PD-L1 inhibitor-induced liver injury, including the fact that PD-1/PD-L1 inhibitors cause reactivation of CTLs, aberrant presentation of autoantigens, hepatic immune tolerance environment is disrupted, and cytokine secretion, among other effects. Patients usually develop liver injury after the use of PD-1/PD-L1 inhibitors, and clinical symptoms mainly include weakness, muscle pain, nausea and vomiting, and jaundice. Histologically, the main manifestation is lobular hepatitis with lobular inflammatory infiltration. Since the specific biomarkers for PD-1/PD-L1 inhibitor-associated liver injury have not been identified yet, alpha-fetoprotein, IL-6, and IL-33 have the potential to be biomarkers for predicting this type of liver injury in the future, but this requires further research. We also describe the examination and treatment of this type of liver injury, which usually includes eliminating related influencing factors, regularly monitoring liver function, temporarily retaining or permanently stopping ICIs treatment according to the severity of toxicity, and using corticosteroids. This review may provide useful information for the future clinical practice of PD-1/PD-L1 inhibitors.
    MeSH term(s) Humans ; Chemical and Drug Induced Liver Injury, Chronic ; Immune Checkpoint Inhibitors/adverse effects ; Immunotherapy/adverse effects ; Neoplasms ; Programmed Cell Death 1 Receptor
    Chemical Substances Immune Checkpoint Inhibitors ; Programmed Cell Death 1 Receptor
    Language English
    Publishing date 2024-03-08
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2043785-7
    ISSN 1878-1705 ; 1567-5769
    ISSN (online) 1878-1705
    ISSN 1567-5769
    DOI 10.1016/j.intimp.2024.111799
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Rationally Engineering pH Adaptation of Acid-Induced Arginine Decarboxylase from Escherichia coli to Alkaline Environments to Efficiently Biosynthesize Putrescine.

    Wang, Li / Ding, Bo / Hu, Xiangyang / Li, Guohui / Deng, Yu

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2024  , Page(s) e2307779

    Abstract: Acid-induced arginine decarboxylase AdiA is a typical homo-oligomeric protein biosynthesizing alkaline nylon monomer putrescine. However, upon loss of the AdiA decamer oligomeric state at neutral and alkaline conditions the activity also diminishes, ... ...

    Abstract Acid-induced arginine decarboxylase AdiA is a typical homo-oligomeric protein biosynthesizing alkaline nylon monomer putrescine. However, upon loss of the AdiA decamer oligomeric state at neutral and alkaline conditions the activity also diminishes, obstructing the whole-cell biosynthesis of alkaline putrescine. Here, a structure cohesion strategy is proposed to change the pH adaptation of AdiA to alkaline environments based on the rational engineering of meridional and latitudinal oligomerization interfaces. After integrating substitutions of E467K at the latitudinal interface and H736E at the meridional channel interface, the structural stability of AdiA decamer and its substrate transport efficiency at neutral and alkaline conditions are improved. Finally, E467K_H736E is well adapted to neutral and alkaline environments (pH 7.0-9.0), and its enzymatic activity is 35-fold higher than that of wild AdiA at pH 8.0. Using E467K_H736E in the putrescine synthesis pathway, the titer of putrescine is up to 128.9 g·L
    Language English
    Publishing date 2024-04-03
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202307779
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Glymphatic System Dysfunction Underlying Schizophrenia Is Associated With Cognitive Impairment.

    Tu, Ye / Fang, Yan / Li, Guohui / Xiong, Fei / Gao, Feng

    Schizophrenia bulletin

    2024  

    Abstract: Background and hypothesis: Despite the well-documented structural and functional brain changes in schizophrenia, the potential role of glymphatic dysfunction remains largely unexplored. This study investigates the glymphatic system's function in ... ...

    Abstract Background and hypothesis: Despite the well-documented structural and functional brain changes in schizophrenia, the potential role of glymphatic dysfunction remains largely unexplored. This study investigates the glymphatic system's function in schizophrenia, utilizing diffusion tensor imaging (DTI) to analyze water diffusion along the perivascular space (ALPS), and examines its correlation with clinical symptoms.
    Study design: A cohort consisting of 43 people with schizophrenia and 108 healthy controls was examined. We quantified water diffusion metrics along the x-, y-, and z-axis in both projection and association fibers to derive the DTI-ALPS index, a proxy for glymphatic activity. The differences in the ALPS index between groups were analyzed using a 2-way ANCOVA controlling for age and sex, while partial correlations assessed the association between the ALPS index and clinical variables.
    Study results: People with schizophrenia showed a significantly reduced DTI-ALPS index across the whole brain and within both hemispheres (F = 9.001, P = .011; F = 10.024, P = .011; F = 5.927, P = .044; false discovery rate corrected), indicating potential glymphatic dysfunction in schizophrenia. The group by cognitive performance interaction effects on the ALPS index were not observed. Moreover, a lower ALPS index was associated with poorer cognitive performance on specific neuropsychological tests in people with schizophrenia.
    Conclusion: Our study highlights a lower ALPS index in schizophrenia, correlated with more pronounced cognitive impairments. This suggests that glymphatic dysfunction may contribute to the pathophysiology of schizophrenia, offering new insights into its underlying mechanisms.
    Language English
    Publishing date 2024-04-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 439173-1
    ISSN 1745-1701 ; 0586-7614
    ISSN (online) 1745-1701
    ISSN 0586-7614
    DOI 10.1093/schbul/sbae039
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Self-assembly morphology transition mechanism of similar amphiphilic molecules.

    Weng, Junben / Yao, Haojiang / Wang, Junfeng / Li, Guohui

    Physical chemistry chemical physics : PCCP

    2023  Volume 26, Issue 1, Page(s) 533–542

    Abstract: Molecular self-assembly is a powerful synthesis method for nanomaterials. Promoting the development of self-assembly is not only conducive to the efficient preparation of nanomaterials but also promotes progress in other research fields. Therefore, it is ...

    Abstract Molecular self-assembly is a powerful synthesis method for nanomaterials. Promoting the development of self-assembly is not only conducive to the efficient preparation of nanomaterials but also promotes progress in other research fields. Therefore, it is necessary to enhance the advancement of molecular self-assembly, and the key is to deepen the understanding of the correlation between molecular characteristics and self-assembly morphologies. However, some similar amphipihlic molecules self-assemble into assemblies with significant morphology difference, which is challenging to clear the mechanism for experimenters. In this work, we explore the microscopic mechanism of six similar molecules by MD simulations, and the influences of molecular conformation, atomic groups, and polycyclic aromatic hydrocarbons on morphologies are discussed in detail. Our findings enrich the design principles of amphiphilic molecules for self-assembly, which promotes the modular design of molecular self-assembly.
    Language English
    Publishing date 2023-12-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp04556k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases.

    Yang, Hong / Liu, Heng / Li, Guohui

    Computers in biology and medicine

    2023  Volume 156, Page(s) 106674

    Abstract: Coronavirus disease (COVID-19) has infected billion people around the world and affected the economy, but most countries are considering reopening, so the COVID-19 daily confirmed and death cases have increased greatly. It is very necessary to predict ... ...

    Abstract Coronavirus disease (COVID-19) has infected billion people around the world and affected the economy, but most countries are considering reopening, so the COVID-19 daily confirmed and death cases have increased greatly. It is very necessary to predict the COVID-19 daily confirmed and death cases in order to help every country formulate prevention policies. To enhance the prediction performance, this paper proposes a prediction model based on improved variational mode decomposition by sparrow search algorithm (SVMD), improved kernel extreme learning machine by Aquila optimizer algorithm (AO-KELM) and error correction idea, named SVMD-AO-KELM-error for short-term prediction of COVID-19 cases. Firstly, to solve mode number and penalty factor selection of variational mode decomposition (VMD), an improved VMD based on sparrow search algorithm (SSA), named SVMD, is proposed. SVMD decomposes the COVID-19 case data into some intrinsic mode function (IMF) components and residual is considered. Secondly, to properly selected regularization coefficients and kernel parameters of kernel extreme learning machine (KELM) and improve the prediction performance of KELM, an improved KELM by Aquila optimizer (AO) algorithm, named AO-KELM, is proposed. Each component is predicted by AO-KELM. Then, the prediction error of IMF and residual are predicted by AO-KELM to correct prediction results, which is error correction idea. Finally, prediction results of each component and error prediction results are reconstructed to get final prediction results. Through the simulation experiment of the COVID-19 daily confirmed and death cases in Brazil, Mexico, and Russia and comparison with twelve comparative models, simulation experiment gives that SVMD-AO-KELM-error has best prediction accuracy. It also proves that the proposed model can be used to predict the pandemic COVID-19 cases and offers a novel approach for COVID-19 cases prediction.
    MeSH term(s) Humans ; COVID-19 ; Algorithms ; Computer Simulation ; Learning
    Language English
    Publishing date 2023-02-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.106674
    Database MEDical Literature Analysis and Retrieval System OnLINE

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